At a Glance
- Tasks: Design and refine algorithmic trading strategies using advanced quantitative methods.
- Company: Good Markets, a cutting-edge firm in FX and crypto trading.
- Benefits: Competitive pay, high-energy environment, and zero bureaucracy.
- Other info: Opportunity to influence research culture and work on live market systems.
- Why this job: Shape the future of trading systems with innovative research and direct founder collaboration.
- Qualifications: PhD in a quantitative field and strong programming skills in Python or C++.
The predicted salary is between 63000 - 77000 £ per year.
About Us
Good Markets is building advanced algorithmic trading systems across FX and crypto, combining dynamic hedging, multi-agent grid logic, machine-learning techniques, and high-frequency data insights. We’re expanding the research team with exceptional talent who want to push the boundaries of systematic trading and simulation at scale.
Location: London (on-site)
Company: Good Markets
Role Type: Full-time
The Role
We are looking for a Quant Researcher with a PhD in Particle Physics, Applied Mathematics, Computer Science, Statistics, Engineering, or a similarly quantitative field. Your work will directly influence the development of our trading engines, volatility prediction models, dynamic thresholds, and multi-layered risk controls.
You’ll Work Closely With The Founders On:
- Designing, testing, and refining systematic trading strategies
- Building predictive models for volatility, regime detection, and market structure
- Designing dynamic thresholding and adaptive decision systems
- Running large-scale simulations and time-series modelling
- Contributing to signal research and automated execution improvements
- Helping shape the next generation of Good Markets’ algorithmic frameworks
What You’ll Need
- PhD in a quantitative field (Particle Physics strongly preferred)
- Strong mathematical modelling background
- Solid experience with Python or C++ (bonus if you know pandas, numpy, numba, multiprocessing, or GPU workflows)
- Ability to structure and analyse large time-series datasets
- Curiosity and creativity in solving complex problems
- Interest in trading, market microstructure, or systematic strategies
- Ability to work on-site in our London office
Nice To Have
- Experience with ML/AI for time-series prediction
- Exposure to FX, crypto, or high-frequency data
- Experience designing or evaluating algos, simulations, or optimisation routines
- Understanding of statistics, stochastic processes, PDEs, or signal processing
- Curiosity about agent-based modelling, reinforcement learning, or market regimes
Why Join Us
- Work directly with founders on real trading systems deployed in live markets
- Zero bureaucracy, we build, test, iterate, and ship
- Massive opportunity to shape the research culture from day one
- Competitive compensation with strong upside potential
- High-energy environment where physics-level thinking is genuinely valued
If you’re a builder, a thinker, and someone who loves wrestling with complex systems, we’d love to speak with you.
Quantitative Researcher employer: Good Markets
Good Markets is an exceptional employer for Quantitative Researchers, offering a dynamic and innovative work environment in the heart of London. With zero bureaucracy, employees have the freedom to build and iterate on cutting-edge trading systems while collaborating closely with founders, fostering a culture of creativity and high-energy problem-solving. The company provides competitive compensation and significant opportunities for personal and professional growth, making it an ideal place for those passionate about pushing the boundaries of algorithmic trading.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Good Markets!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quantitative Researcher at Good Markets.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Good Markets.
✨Apply Directly through Our Website
When you find a suitable opening like Quantitative Researcher at Good Markets, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Good Markets, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Good Markets. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Good Markets
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Good Markets!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
